UTA Arad 1-0 CFR Cluj: result, our prediction

Liga I
UTA AradUTA AradWWLWL
Full time1-0Sun, 18 Oct 202618/1016:15UK
CFR ClujCFR ClujDLWLW
42.2%Home winFair odds 2.37
27.0%DrawFair odds 3.70
30.8%Away winFair odds 3.25
Pre-match: Most likely published score1-112.9%Fair odds 7.78

Pre-match model estimates · MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined75.1%
Under 3.5 goalsBoth teams combined72.2%
UTA Arad or draw69.2%

Post-match analysis

Judged against the prediction this page published before kickoff. Right or wrong, it stays on the record.

A call is the side our published probability favoured. If we leaned towards under and three goals went in, that counts as a miss.

UTA AradUTA Arad
1-0FT
CFR ClujCFR Cluj

Match data

Match data: UTA Arad and CFR Cluj
UTA AradUTA Arad Statistic CFR ClujCFR Cluj
1 Goals 0

The result, on the record

Recorded tally 3 of 5 published calls on this match were right.

Published calls · recorded grading

# Market Our pick Our chance Recorded grade
1 Match result Pick: UTA Arad Chance: 42.2% Correct
2 Total goals 2.5 Pick: Under 2.5 Chance: 50.2% Correct1 goals
3 Total goals 1.5 Pick: Over 1.5 Chance: 75.1% Wrong1 goals
4 Total goals 3.5 Pick: Under 3.5 Chance: 72.2% Correct1 goals
5 Both teams to score Pick: Yes Chance: 54.4% Wrong

Our verdict

Road2Sushi's own call on this match: the likeliest result, how confident the model is, its strongest signals and the reasons behind them.

Every percentage is a model estimate and every fair price is 1 divided by that estimate. Neither is a bookmaker offer, and a model call is not a proven edge over the market.

Model pick

UTA Arad
Match winner (1X2)42.2%
Fair odds2.37
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel75.1%
Fair oddsFair1.33
Double chance marketUTA Arad or draw
Model estimateModel69.2%
Fair oddsFair1.45
Both teams to scoreBoth teams to score
Model estimateModel54.4%
Fair oddsFair1.84

Model read

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. An open result market: UTA AradRead full analysisShow less

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. An open result market: UTA Arad lead at 42.2%, with draw 27.0% and CFR Cluj at 30.8%. No result has a majority of the model probability. Both teams to score stands out at 54.4%. The estimate leans this way, with substantial uncertainty remaining. Without a complete matching price comparison, this is an event read rather than a verified price opportunity. The overall match assessment has not cleared the model's betting filters; this market read does not override that decision.

Both teams to score

Model estimate
54.4%
Fair odds
1.84

Under 2.5 goals

Model estimate
50.2%
Fair odds
1.99

Context & limits

  • UTA Arad: 3 wins, 0 draws and 2 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • CFR Cluj: 2 wins, 1 draws and 2 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 2.4 goals. This is a historical sample, not a forecast for this fixture.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

Our engine prices UTA Arad at 42% for 18 October 2026. Favourites, yes; certainties, no. The numbers that frame it: • Bookmakers see it the same way, 44% on UTA Arad, and agreement is historically when our numbers are most reliable. • Totals sit close to the fence: 50% for Over 2.5 with both teams to score at 54%. • The recent series reads 1 wins for UTA Arad, 2 draws and 2 for CFR Cluj over 5 games, 2.4 goals on average. • Recent form reads W3 D1 L2 for UTA Arad against W3 D1 L2 for CFR Cluj. Verdict: no bet. Value_gap +0.023 <= 0.03.

Form & head-to-head

Recent form uses each club’s available results in their stored order. Select a W/D/L result for details.

Head-to-head figures use their own recorded sample. Where individual results are available, the figures and journal cover the same meetings. Missing results are never counted as draws.

UTA AradUTA AradLast 5
W
Win · 3-1
W
Win · 5-1
L
Loss · 2-4
W
Win · 1-0
L
Loss · 0-2

3 wins · 0 draws · 2 losses

CFR ClujCFR ClujLast 5
D
Draw · 0-0
L
Loss · 1-3
W
Win · 3-1
L
Loss · 1-3
W
Win · 1-0

2 wins · 1 draw · 2 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

1UTA AradUTA Arad wins
2Draws
2CFR ClujCFR Cluj wins
2.4Average goals
Date
Home team
Score
Away team
UTA AradUTA Arad
0 – 1
CFR ClujCFR Cluj
CFR ClujCFR Cluj
1 – 1
UTA AradUTA Arad
UTA AradUTA Arad
1 – 4
CFR ClujCFR Cluj
CFR ClujCFR Cluj
1 – 3
UTA AradUTA Arad
CFR ClujCFR Cluj
0 – 0
UTA AradUTA Arad

Odds: model vs bookmaker

Every price for this match in one place: the model's probabilities next to the bookmaker's, the bookmaker's prices with our gap, and the model's own fair odds for each market.

Bookmaker probabilities are de-vigged (the margin is removed) and come from one bookmaker. A gap between the model and that bookmaker is a disagreement, not a proven edge. Fair odds are 1 divided by the model probability, not a bookmaker quote.

Model vs market

Pre-match estimates, recorded before the match.

1X2: Bet365 prices, observed 18 Oct 2026, 11:35 UTC, with the bookmaker margin taken out.

A market probability is the bookmaker's own price with its margin taken out, so the outcomes of each line add up to 100%. A gap from our model is a disagreement, not a proven edge: when we tested 1X2 and goal totals on matches the model had never seen, the bookmaker's closing price was more accurate. For corners, cards and shots we have no such test.

Every market price shown was recorded before kick-off.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 42.2%
UTA Arad

Model minus market: -2.3 pp
Market probability: 44.5%
Model probability: 27.0%
Draw

Model minus market: 0.0 pp
Market probability: 27.0%
Model probability: 30.8%
CFR Cluj

Model minus market: +2.3 pp
Market probability: 28.5%

Goals

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 92.4%
Over 0.5 goals

Model minus market: —
Market probability: —
Model probability: 7.6%
Under 0.5 goals

Model minus market: —
Market probability: —
Model probability: 75.1%
Over 1.5 goals

Model minus market: —
Market probability: —
Model probability: 24.9%
Under 1.5 goals

Model minus market: —
Market probability: —
Model probability: 49.8%
Over 2.5 goals

Model minus market: —
Market probability: —
Model probability: 50.2%
Under 2.5 goals

Model minus market: —
Market probability: —
Model probability: 27.8%
Over 3.5 goals

Model minus market: —
Market probability: —
Model probability: 72.2%
Under 3.5 goals

Model minus market: —
Market probability: —
Model probability: 13.2%
Over 4.5 goals

Model minus market: —
Market probability: —
Model probability: 86.8%
Under 4.5 goals

Model minus market: —
Market probability: —
Model probability: 5.4%
Over 5.5 goals

Model minus market: —
Market probability: —
Model probability: 94.6%
Under 5.5 goals

Model minus market: —
Market probability: —
Model probability: 54.4%
Both teams to score · Yes

Model minus market: —
Market probability: —
Model probability: 45.6%
Both teams to score · No

Model minus market: —
Market probability: —

Cards

No estimates available for this market.

Corners

No estimates available for this market.

Shots

No estimates available for this market.

Bookmaker odds

Real bookmaker price (Bet365) next to our model fair price. Bookmaker prices include the bookmaker margin, so our margin-free fair price usually looks longer. We do not claim to beat the closing market.

Gap is our probability minus the probability the bookmaker price implies (1 divided by the price), in percentage points. Because the price includes the margin, most gaps are negative. Model highlights are outcomes where our probability is at least 15 points higher. A gap is a disagreement, not a proven edge.

After full time these are the stored pre-match prices, kept for the record. They are not current prices, so no outcome is highlighted.

Match result · 1X2

UTA Arad winBookmaker2.05Model fair2.37Model minus bookmaker probability, percentage points: -6.5 pp
DrawBookmaker3.25Model fair3.70Model minus bookmaker probability, percentage points: -3.7 pp
CFR Cluj winBookmaker3.10Model fair3.25Model minus bookmaker probability, percentage points: -1.4 pp

Model fair odds

Our published model probability as a decimal price (1 divided by probability). A fair model price, not a bookmaker quote. Only the supported 1X2 calibration pool is calibrated; other markets retain their model estimates.

Match result

UTA Arad win2.37
Draw3.70
CFR Cluj win3.25
Both teams to score1.84

Goals

Over 0.5 goals1.08
Over 1.5 goals1.33
Over 2.5 goals2.01
Over 3.5 goals3.59
UTA Arad most2.37
CFR Cluj most3.25

Totals line guide

Both teams combined.

Over 0.592.4%Over 1.575.1%Over 2.549.8%Over 3.527.8%Over 4.513.2%Over 5.55.4%
Our stored model focusOver 1.575.1%

The stored model call was Fairly priced. The match has been played, so this is a historical snapshot: the graded result is below.

Read context

Both teams combined. Each bar uses the stored model estimate for that exact total-goals line. Missing estimates are unavailable; they are not zero.

Fair odds are the model’s own probability price, not a published bookmaker offer.

Market explorer

Model probabilities and fair odds.

Each bar is a specific Over selection for both teams combined. Its height is the model probability, on the same 0–100% scale.

Risk describes estimated likelihood, not profitability: low risk at least 62%, medium 48% to under 62%, high below 48%. Colors follow the actual estimate, even when a risk band is missing.

Up to four markets are selected from available model data, prioritising a spread of risk profiles. Fair odds are calculated from the model, not bookmaker prices: 1 divided by probability.

Scores are exact home-away outcomes from zero to five goals per team. Unavailable estimates stay blank; partial inputs are not expanded, inferred or normalised. Scores outside the matrix remain eligible for the top three.

Low riskMedium riskHigh risk

Goals

Over 1.51.5 goals, Low risk
Model probability 75.1%
Fair odds Fair 1.33
Over 2.52.5 goals, Medium risk
Model probability 49.8%
Fair odds Fair 2.01
Over 3.53.5 goals, High risk
Model probability 27.8%
Fair odds Fair 3.59
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-07.6%Fair odds 13.21 1-09.5%Fair odds 10.50 2-07.4%Fair odds 13.55 3-03.6%Fair odds 27.86 4-01.3%Fair odds 76.34 5-00.4%Fair odds 263.16
Away goals 1 0-17.8%Fair odds 12.84 1-112.9%Fair odds 7.78 2-18.9%Fair odds 11.21 3-14.3%Fair odds 23.09 4-11.6%Fair odds 63.29 5-10.5%Fair odds 217.39
Away goals 2 0-25.1%Fair odds 19.69 1-27.4%Fair odds 13.51 2-25.4%Fair odds 18.55 3-22.6%Fair odds 38.17 4-21.0%Fair odds 105.26 5-20.3%Fair odds 357.14
Away goals 3 0-32.1%Fair odds 48.78 1-33.0%Fair odds 33.56 2-32.2%Fair odds 46.08 3-31.1%Fair odds 94.34 4-30.4%Fair odds 263.16 5-30.1%Fair odds 909.09
Away goals 4 0-40.6%Fair odds 161.29 1-40.9%Fair odds 111.11 2-40.7%Fair odds 151.52 3-40.3%Fair odds 312.50 4-40.1%Fair odds 833.33 5-40.0%Fair odds 3,333.33
Away goals 5 0-50.2%Fair odds 666.67 1-50.2%Fair odds 454.55 2-50.2%Fair odds 625.00 3-50.1%Fair odds 1,250.00 4-50.0%Fair odds 3,333.33 5-50.0%Fair odds 10,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability12.9%
Fair odds7.78
1-0
Model probability9.5%
Fair odds10.50
2-1
Model probability8.9%
Fair odds11.21

Referee

One match referee is shown from an explicitly saved result or a fresh, identity-matched provider fixture. Previous referees are never used to guess an appointment. An API listing can change.

The referee’s totals count every completed match with this referee in our data: football-data.co.uk names the referee in English leagues, and API-Football names the referee of the same match (same teams, date and score) in every league from 2025/26. A rate needs at least 5 matches with that figure.

The team table shows each team’s published history with that same referee only. Matches, team cards per game and match cards per game are separate fields; their available samples can differ. Missing values are not zero. Cards include yellow and red cards in the current historical source.

Referee not recorded

No verified match referee is available in the saved data.

Season stats

2026/27 season. Recorded results, not model estimates.

UTA AradUTA Arad
CFR ClujCFR Cluj

Overview

Statistic
UTA Arad
CFR Cluj
League position
#12 of 16
#8 of 16
Matches played
11
11
Record W-D-L
3-3-5
5-1-5
Recent form
WWLWL
Last 5 matches
DLWLW
Last 5 matches
Current streak
L1
W1
Points per game
1.09
1.45
Record, home vs away
2-3-0
2-0-4
PPG, home vs away
1.80
1.00

PPG scale: 0–3 points per game. Each team uses the same scale independently.

Show all season statsHide season stats

Goals

Statistic
UTA Arad
CFR Cluj
Goals scored per game
1.27
1.55
Goals conceded per game
1.55
1.55
Scored, home vs away
1.60
1.17
Conceded, home vs away
0.60
2.17

Scale: 0–3 goals or expected goals (xG) per game. Each team uses the same scale independently.

Goal rates

Statistic
UTA Arad
CFR Cluj
Over 2.5 rate
54.5%
72.7%
BTTS rate
45.5%
54.5%
Clean sheets
27.3%
36.4%

Scale: 0–100% of recorded matches, not model estimates. Each team uses the same scale independently.

League averages this season: 2.67 goals per match · Over 2.5 in 48.9% · BTTS in 46.6%. Full league tables & stats →

All model outcomes · full market spectrum & player markets

Shots

Shots on target

Cards

Clean sheet & win to nil

Worked out from the scoreline grid above: a clean sheet is every scoreline where the other side fails to score. It is the model’s own percentage, scored against the result afterwards, and it is not a tip.

UTA Arad clean sheet 29.8%
CFR Cluj clean sheet 23.3%
UTA Arad win to nil 22.2%
CFR Cluj win to nil 15.7%

Full market spectrum · model probabilities

The model’s own percentages, with no odds attached. The smaller markets are here so you can see everything we hold a number on, not because we claim an advantage in them. The colour says how close our percentages have landed to reality on matches the model had never seen. This is the raw model spectrum. Its match-result marginal can differ from the published 1X2 above; it does not replace the saved prediction.

Match result & goals calibrated
1×2
home 42.3% draw 27.0% away 30.8%
double_chance
1X 69.3% 12 73.0% X2 57.8%
dnb
home 57.9% away 42.1%
btts
yes 54.4% no 45.6%
clean_sheet
home 29.9% away 23.3%
win_to_nil
home 22.3% away 15.7%
winning_margin
home_by_1 21.5% home_by_2 12.8% home_by_3plus 8.0%
away_by_1 17.7% away_by_2 8.8% away_by_3plus 4.2%
correct_score
0-0 7.6% 0-1 7.8% 0-2 5.1%
0-3 2.1% 0-4 0.6% 0-5 0.2%
1-0 9.5% 1-1 12.9% 1-2 7.4%
1-3 3.0% 1-4 0.9% 1-5 0.2%
2-0 7.4% 2-1 8.9% 2-2 5.4%
2-3 2.2% 2-4 0.7% 2-5 0.2%
3-0 3.6% 3-1 4.3% 3-2 2.6%
3-3 1.1% 3-4 0.3% 3-5 0.1%
4-0 1.3% 4-1 1.6% 4-2 1.0%
4-3 0.4% 4-4 0.1% 4-5 0.0%
5-0 0.4% 5-1 0.5% 5-2 0.3%
5-3 0.1% 5-4 0.0% 5-5 0.0%
other 0.5%
likeliest_score
h 100.0% a 100.0% p 12.9%
Goals: totals / handicap / exact calibrated
total
over_0.5 92.4% under_0.5 7.6% over_1.5 75.1%
under_1.5 24.9% over_2.5 49.8% under_2.5 50.2%
over_3.5 27.8% under_3.5 72.2% over_4.5 13.2%
under_4.5 86.8% over_5.5 5.4% under_5.5 94.6%
odd_even
odd 48.5% even 51.5%
team_home
over_0.5 76.7% under_0.5 23.3% over_1.5 42.8%
under_1.5 57.2% over_2.5 18.1% under_2.5 82.0%
team_away
over_0.5 70.1% under_0.5 29.9% over_1.5 34.1%
under_1.5 66.0% over_2.5 12.2% under_2.5 87.8%
most
home 42.3% draw 27.0% away 30.8%
handicap
home_-2.5 8.0% away_+2.5 92.0% home_-1.5 20.8%
away_+1.5 79.2% home_-0.5 42.3% away_+0.5 57.8%
home_+0.5 69.3% away_-0.5 30.8% home_+1.5 87.0%
away_-1.5 13.0% home_+2.5 95.8% away_-2.5 4.2%
total_exact
exact_0 7.6% exact_1 17.3% exact_2 25.3%
exact_3 22.0% exact_4 14.6% exact_5 7.8%
exact_6 3.5% exact_7plus 1.9%
Method, limits & performance

How this works (honestly)

We are transparent about our method, our limits and how we measure performance.

What we use

Results, odds & closing prices, xG, shots, lineups, referee and schedule load.

Our method

Dixon-Coles + an xG strength model + champion/challenger selection + probability calibration + a trust gate.

What we don’t do

We do not beat the sharp market. The value is honest probabilities, No-bet calls and CLV.

Performance snapshot

Top-pick hit rate 47.7% (reliability, not edge). Calibration error 0.0106 (56038 matches).

Not financial advice. No model beats the sharp closing market on public data. The value here is honest probabilities, No-bet calls, and CLV history.

Explore this match